Text & Documents Annotation
Text Annotation & Document Processing You Can Rely On
Training NLP models or automating document workflows? We provide precise, context-aware text annotation to help your AI truly understand language.
From entity recognition and sentiment analysis to contextual tagging and document classification, our team delivers tailored solutions that enhance the depth and accuracy of your text data.
Whether you’re working with large volumes or linguistically complex content, we scale to meet your needs—while maintaining strict quality standards to ensure consistency across every annotation.
What is Text Labeling?
Text labeling is the process of assigning tags or categories to specific pieces of text—like sentences, phrases, or keywords—to identify elements such as sentiment, intent, or topic. This labeling helps train machine learning models to recognize patterns, understand meaning, and make accurate predictions based on language data.
What is Text Annotation?
Text annotation goes beyond basic labeling. It involves adding detailed, structured information to raw text, such as marking entities, coreferences, syntax, or contextual relationships. Text annotation is essential for advanced NLP tasks like named entity recognition, part-of-speech tagging, and dependency parsing—enabling AI to interpret language with nuance and depth.
What is NLP?
Natural Language Processing (NLP) is a field of artificial intelligence that focuses on enabling machines to understand, interpret, and respond to human language. By processing and analyzing large amounts of text, NLP allows computers to perform tasks such as translation, sentiment analysis, and language generation, making interactions with technology more intuitive and human-like.
Document Processing
Comprensive Document Processing Services
In this context, document processing refers to the automation of extracting, classifying, and organizing information from structured or unstructured text documents. Combined with annotation, it allows systems to “read” and process forms, contracts, emails, and other documents efficiently—turning them into actionable data for AI-driven workflows and decision-making.
Consultation
We begin by discussing your document processing needs and objectives, defining the scope and parameters of the project.
Data Collection
We gather and review the documents to be processed, ensuring all necessary information is available for processing.
Processing
We process the documents using advanced tools and methodologies, conducting thorough quality checks to ensure accuracy and consistency.
Delivery
We deliver the processed documents in your preferred format, review the output with you, and incorporate any feedback to ensure complete satisfaction.
Why Choose DeeLab?
Expert Team
Our skilled professionals are adept at handling a wide variety of documents with precision and care.
Confidentiality
Your information is secure with us. We maintain strict confidentiality for all our clients.
Tailored Solutions
Save time and resources by letting us handle the extensive research work, so you can focus on what you do best.
Shall We Have a Call?
The best way to embark on your annotation journey is by scheduling a free Discovery Call with us. In this brief 30-minute session, our experts will understand your project requirements, discuss your goals, and provide tailored guidance on the next steps.
Book your call today
And explore the possibilities of working together! It’s the first step towards unlocking the full potential of your data.
Articles
Invoice Automation and Data Labeling
Businesses are adopting automation to boost efficiency and streamline operations, especially in invoicing, where manual processes hinder financial workflows.
Text Classification and Categorization
Textual information is numerous and important, and it can take many different forms, from news stories and research papers to social media posts and customer reviews. However, it might be difficult to analyse such a big volume of unstructured text data without proper organisation.
Decoding Emotions through Sentiment Analysis
Understanding human feelings and sentiments expressed through language has become crucial in an increasingly digital world where text is the main mode of communication.
